Basic Required Qualifications and Skills
Bachelor’s degree in computer science, data engineering, data science, computer engineering, or a related technical field.
3+ years of experience in software development, cloud engineering, application development, data engineering, or a related technical discipline, including hands-on software development lifecycle (SDLC) experience.
1+ years of experience with
Developing ETL workflows and data transformation processes.
Software development supporting data engineering and system integration.
AWS cloud technologies
AI integration into data solutions or applications.
Experience using diverse languages or scripting tools, including R and Ruby.
Strong analytical and problem-solving skills.
Ability to adapt to unfamiliar tools, programming languages, and technical tasks quickly.
Willingness to work in a dynamic environment where priorities and technical requirements may shift
Ability to meet DoD 8140.03 requirements for the applicable work role, Database Administrator (Intermediate) or equivalent.
Ability to obtain and maintain a TS/SCI with SAP eligibility.
Please note that pursuant to a government contract, this specific position requires U.S. Citizenship.
All applicants must have current DoD TS/SCI clearance eligibility day one and prior to entry on duty.
Desired Qualifications and Skills: It is desirable that the candidate have the following qualifications:
AWS certifications preferred, such as AWS Certified Cloud Practitioner, AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Engineer.
CompTIA Cloud+ or comparable cloud certification.
Experience designing, developing, testing, and maintaining reliable software applications and data-processing solutions.
Hands-on AWS delivery experience using services such as Lambda, S3, EC2, IAM, CloudWatch, and infrastructure-as-code tools to deploy, monitor, and support cloud-based applications and data workloads.
Hands-on Kubernetes delivery experience deploying, configuring, scaling, and troubleshooting containerized applications, including working with clusters, pods, deployments, services, configuration, and application logs.
Production data-engineering experience, including operating pipelines or ETL workflows in a live environment.
Hands-on experience with AWS through professional, academic, personal, or laboratory projects.
Experience with additional languages and tools, such as R or Ruby, beyond the core development stack.
AI integration exposure, including incorporating AI capabilities into data workflows or applications
Essential Duties and Responsibilities: This position will include, but is not limited to, the following tasks:
Build and optimize ETL processes that ingest, transform, validate, and deliver data for mission use.
Develop software components that support data engineering, automation, integration, and operational requirements.
Use AWS services to develop, deploy, and support cloud-based data solutions.
Integrate AI capabilities into data workflows and applications when required.
Diagnose technical issues, improve performance and reliability, and solve novel data challenges.
Rapidly learn and use new programming languages, frameworks, and tools, including languages such as R and Ruby when needed.
Work effectively in a fast-changing environment involving ambiguity, evolving requirements, shifting priorities, and non -routine technical challenges.
Take initiative, transition between tools and programming languages with minimal ramp-up, and apply sound engineering judgment to new mission problems.
Other duties as assigned.
Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
